Course summary
This course is subject to validation. This course will provide you with the latest ground-breaking research and practices in educational technology and advanced instructional design techniques to reshape the future of learning and teaching worldwide. This course is one of the University's interdisciplinary courses that connect technology, computing, pedagogy, and education, graduates should demonstrate a sufficient understanding of theory and practice in relation to educational technology, including learning content design, educational technology assessment, and adoption. If you are enrolled for the placement version of the course, you will undertake an internship within one of our educational technology partner organisations, which requires you to complete a 120 P-credit Industrial Placement Module. The module is assessed by the partner industrial organisation and the University and grades are reflected on your academic transcripts. The industrial placement component gives you the opportunity to apply the knowledge you acquired during the first year of this MSc course in an authentic working environment.
Modules
Digital Learning Fundamentals This module introduces you to digital learning and how technologies evolved over the last two decades in education. The module presents success and failures but more importantly, it will develop your ability to assess and evaluate impact of these changes as a stepping stone towards future changes. The module discusses key challenges currently faced in academia linked to digital technologies. Pedagogy in the Digital Age This module introduces you to teaching in the digital age, where you will gain knowledge, skills and methods needed. It will also give insight into learning theories, assessment types and pedagogical differences between types of media. In addition, this module will cover building and testing an effective learning environment. Cloud Computing This module provides an overview of cloud computing, its technologies, and building blocks. It covers topics such as data centres, virtualisation, cloud storage, and various cloud paradigms. The course discusses motivating factors, benefits, challenges, and service models. It also explores concepts related to data centre design and management. The main topics of study include the fundamental ideas behind cloud computing, data centre design principles, virtualisation techniques, resource deployment and management in the cloud, and data centre standards and energy efficiency best practices. Mental Wealth; Professional Life (Dissertation) In this practical project at the master’s level, students will undertake a project within the scope of the selected MSc program to develop skills relevant to a senior computing professional. Students will consider ethical, legal, social, and professional issues while conducting research, analysis, design, implementation, quality assurance, evaluation, and project management. The dissertation will require appropriate research methodologies, literature surveys, referencing, and academic writing and presentation skills. Students will also focus on self-reflection, self-awareness, and strategies to improve their mentoring skills, health, and well-being. Additionally, students will engage with real-world projects and computing professionals and develop a recent development in the field of computer science to a professional standard. Disruptive Educational Technologies This module provides you with the latest ground-breaking research and practices in educational technology to reshape the future of learning and teaching. It covers a wide range of topics that are discussed in Technology-Enhanced Learning which include: Artificial Intelligence, Learning Analytics, technology for assessment and support, and game-based learning. The module also provides you with insight and experience into success factors of adopting technologies in certain educational contexts.
Assessment method
A wide variety of assessment techniques will be used to assess students' understanding and achievements. This is explained as follows: Knowledge is assessed by tutorials (in class and at the end of the year) individual/group projects and reports group assessments presentations dissertation Thinking skills are assessed by all assessment tasks set (especially related to critical thinking) use of appropriate problem-solving skills Practical skills are assessed by assessment tasks requiring the use of general and specialised IT applications demonstration of projects/tasks use of tools in designing algorithms Skills for life and work (general skills) are assessed by evidence of group and team working ability to work under time constraints You'll always receive detailed feedback outlining your strengths and how you can improve. The timeframe for receiving such feedback depends on the size and type of submission, but generally, students receive feedback on their submissions within 7 working days.
Entry requirements
A second-class honours degree in Computer Science, Education, Engineering, STEM, Psychology, Management and Leadership (or an equivalent degree with good computational skills) from a recognised UK HE institution. In addition, students with equivalent qualifications from overseas institutions will be considered for entry if they satisfy the normal English Language requirements. Exceptionally, applicants without the above first degrees but who have significant, relevant work experience might be considered for entry.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of East London
Docklands Campus
4-6 University Way
Newham
E16 2RD
Course contact details
Visit our course pageApplicant Relations Team
0208 223 3333